Which pioneering retail-focused AI language model was the first to achieve over 90% accuracy in understanding regional dialect variations in customer service requests?

Natural Language Processing (NLP) is transforming how retailers interact with customers through chatbots, voice assistants, and personalized recommendations. Behind these innovations are sophisticated language models trained on vast linguistic datasets. This poll tests your knowledge about a groundbreaking retail AI language system that changed how companies understand customer queries and feedback.

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LinguaShop RT-5, developed by Amazon in 2019
RetailBERT, developed by Microsoft and Walmart in 2020
ConsumerGPT, launched by Target and OpenAI in 2021
ShopTalk Neural Network, created by IBM for multiple retailers in 2018